System for ledger and parametric marketplace for algorithmic content creations

ABSTRACT

Aspects of the subject disclosure may include, for example, a device that has a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including: receiving media content from user equipment, wherein the media content comprises a sample of an existing work used to modify an original work; analyzing the media content using machine learning to determine a plurality of composition parameters that characterize aspects of the media content; recording the plurality of composition parameters determined, including an identification of composition parameters in the plurality of composition parameters attributable to the existing work, and an identification of composition parameters attributable to the original work, in a blockchain ledger; searching for the composition parameters in the blockchain ledger for one or more works having similar composition parameters; and reporting any works found during the searching to the user equipment.

FIELD OF THE DISCLOSURE

The subject disclosure relates to System for Ledger and ParametricMarketplace for Algorithmic Content Creations.

BACKGROUND

Television content providers and music streaming services have recentlybeen disseminating various content. With these new markets and their newuse cases—just-in-time personalization of music or video—the ability totrack and attribute the source of content is increasingly challenging.

Additionally, digital rights management (DRM) frameworks powered byblockchain to track the playback and monetization of an artist areflawed because they ignore the complex space of computational content,where multiple contributors may have co-created (or derived) inputs.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference will now be made to the accompanying drawings, which are notnecessarily drawn to scale, and wherein:

FIG. 1 is a block diagram illustrating an exemplary, non-limitingembodiment of a communications network in accordance with variousaspects described herein.

FIG. 2A is a block diagram illustrating an example, non-limitingembodiment of a new asset flow diagram for a system functioning withinthe communication network of FIG. 1 in accordance with various aspectsdescribed herein.

FIG. 2B is a block diagram illustrating an example, non-limitingembodiment of a new asset validation and notification flow diagram for asystem functioning within the communication network of FIG. 1 inaccordance with various aspects described herein.

FIG. 2C is a block diagram illustrating an example, non-limitingembodiment of an asset playback flow diagram for a system functioningwithin the communication network of FIG. 1 in accordance with variousaspects described herein.

FIG. 3 is a block diagram illustrating an example, non-limitingembodiment of a virtualized communication network in accordance withvarious aspects described herein.

FIG. 4 is a block diagram of an example, non-limiting embodiment of acomputing environment in accordance with various aspects describedherein.

FIG. 5 is a block diagram of an example, non-limiting embodiment of amobile network platform in accordance with various aspects describedherein.

FIG. 6 is a block diagram of an example, non-limiting embodiment of acommunication device in accordance with various aspects describedherein.

DETAILED DESCRIPTION

The subject disclosure describes, among other things, illustrativeembodiments for determining parameters for tracking artistic works.Other embodiments are described in the subject disclosure.

One or more aspects of the subject disclosure include a device that hasa processing system including a processor; and a memory that storesexecutable instructions that, when executed by the processing system,facilitate performance of operations including: receiving media contentfrom user equipment, wherein the media content includes a sample of anexisting work used to modify an original work; analyzing the mediacontent using machine learning to determine a plurality of compositionparameters that characterize aspects of the media content; recording theplurality of composition parameters determined, including anidentification of composition parameters in the plurality of compositionparameters attributable to the existing work, and an identification ofcomposition parameters attributable to the original work, in ablockchain ledger; searching for the composition parameters in theblockchain ledger for one or more works having similar compositionparameters; and reporting any works found during the searching to theuser equipment.

One or more aspects of the subject disclosure include a machine-readablemedium, comprising executable instructions that, when executed by aprocessing system including a processor, facilitate performance ofoperations including receiving media content from user equipment;analyzing the media content into composition parameters thatcharacterize aspects of the media content, wherein the media contentincludes music and the composition parameters are associated withinstruments, voice identification, or a combination thereof; adjustingthe media content to generate adjusted media content comprising adjustedcomposition parameters; adding the adjusted composition parameters to ablockchain ledger for the adjusted media content; and providing the userequipment with access to the adjusted media content and the adjustedcomposition parameters.

One or more aspects of the subject disclosure include a method,including: receiving, by a processing system including a processor,media content from equipment of a user; analyzing, by the processingsystem, the media content for composition parameters that characterizeaspects of the media content; searching, by the processing system, forthe composition parameters in a blockchain ledger for one or morematching works; and providing, by the processing system, a performanceof the media content, as permitted by any matching works found duringthe searching, to the equipment, wherein the performance is personalizedfor the user based on a location of the user, a mood of the user, aprofile of the user, or a combination thereof.

Referring now to FIG. 1, a block diagram is shown illustrating anexample, non-limiting embodiment of a communications network 100 inaccordance with various aspects described herein. For example,communications network 100 can facilitate in whole or in part receivingmedia content from equipment, searching for the composition parametersin a blockchain ledger for one or more matching works, providing aperformance of the media content to the equipment and reporting anymatching works found to the equipment. In particular, a communicationsnetwork 125 is presented for providing broadband access 110 to aplurality of data terminals 114 via access terminal 112, wireless access120 to a plurality of mobile devices 124 and vehicle 126 via basestation or access point 122, voice access 130 to a plurality oftelephony devices 134, via switching device 132 and/or media access 140to a plurality of audio/video display devices 144 via media terminal142. In addition, communication network 125 is coupled to one or morecontent sources 175 of audio, video, graphics, text and/or other media.While broadband access 110, wireless access 120, voice access 130 andmedia access 140 are shown separately, one or more of these forms ofaccess can be combined to provide multiple access services to a singleclient device (e.g., mobile devices 124 can receive media content viamedia terminal 142, data terminal 114 can be provided voice access viaswitching device 132, and so on).

The communications network 125 includes a plurality of network elements(NE) 150, 152, 154, 156, etc. for facilitating the broadband access 110,wireless access 120, voice access 130, media access 140 and/or thedistribution of content from content sources 175. The communicationsnetwork 125 can include a circuit switched or packet switched network, avoice over Internet protocol (VoIP) network, Internet protocol (IP)network, a cable network, a passive or active optical network, a 4G, 5G,or higher generation wireless access network, WIMAX network,UltraWideband network, personal area network or other wireless accessnetwork, a broadcast satellite network and/or other communicationsnetwork.

In various embodiments, the access terminal 112 can include a digitalsubscriber line access multiplexer (DSLAM), cable modem terminationsystem (CMTS), optical line terminal (OLT) and/or other access terminal.The data terminals 114 can include personal computers, laptop computers,netbook computers, tablets or other computing devices along with digitalsubscriber line (DSL) modems, data over coax service interfacespecification (DOCSIS) modems or other cable modems, a wireless modemsuch as a 4G, 5G, or higher generation modem, an optical modem and/orother access devices.

In various embodiments, the base station or access point 122 can includea 4G, 5G, or higher generation base station, an access point thatoperates via an 802.11 standard such as 802.11n, 802.11ac or otherwireless access terminal. The mobile devices 124 can include mobilephones, e-readers, tablets, phablets, wireless modems, and/or othermobile computing devices.

In various embodiments, the switching device 132 can include a privatebranch exchange or central office switch, a media services gateway, VoIPgateway or other gateway device and/or other switching device. Thetelephony devices 134 can include traditional telephones (with orwithout a terminal adapter), VoIP telephones and/or other telephonydevices.

In various embodiments, the media terminal 142 can include a cablehead-end or other TV head-end, a satellite receiver, gateway or othermedia terminal 142. The display devices 144 can include televisions withor without a set top box, personal computers and/or other displaydevices.

In various embodiments, the content sources 175 include broadcasttelevision and radio sources, video on demand platforms and streamingvideo and audio services platforms, one or more content data networks,data servers, web servers and other content servers, and/or othersources of media.

In various embodiments, the communications network 125 can includewired, optical and/or wireless links and the network elements 150, 152,154, 156, etc. can include service switching points, signal transferpoints, service control points, network gateways, media distributionhubs, servers, firewalls, routers, edge devices, switches and othernetwork nodes for routing and controlling communications traffic overwired, optical and wireless links as part of the Internet and otherpublic networks as well as one or more private networks, for managingsubscriber access, for billing and network management and for supportingother network functions.

Parameter-based content development is a budding technology. Contentcreation (audio, video, text) is increasingly automated andparameterized such that there is no explicit video or audio file that isplayed. Instead, computational compositions are rendered just beforeconsumption.

FIG. 2A is a block diagram illustrating an example, non-limitingembodiment of a new asset flow diagram for a system functioning withinthe communication network of FIG. 1 in accordance with various aspectsdescribed herein. The system can identify, track, and provide notices ofthe use of a work, whether ingested as traditional content (e.g. samplesof audio or video) or computational parameterizations of the work (e.g.input to a formula for generating a song or image).

As shown in FIG. 2A, system 200 comprises equipment 201 of a creator, ablockchain ledger 202, a data modeling machine 203 and a computationalparameter database 204. System 200 also comprises (elements illustratedin FIGS. 2B and/or 2C) a transit parameter database 205, a playbacksynthesis engine 206, and equipment 207 of the user.

In step 210, the equipment 201 of the creator provides computationalparameters for a new work that they created, wherein the computationalparameters provide raw instructions for a machine-based performance ofthe work that are stored in the computational parameter database 204.For example, a Musical Instrument Digital Interface (MIDI) file providesa way to communicate all the features of a musical performancedigitally. The computational parameters may comprise a score includingnotes, how the work is to be performed, a mood, and options forinstrumentation that can be deployed to perform the work.

In step 211, the equipment 201 of the creator may, in an embodiment,provide non-computational content for fingerprint analysis by the datamodeling machine 203. The data modeling machine 203 analyzes thenon-computational content using machine learning so that it can beunderstood as composition parameters that characterize the mediacontent. The optional non-computational content may be provided inaddition to the computational parameters, or alternatively instead ofthe computational parameters. Furthermore, the data modeling machine 203may use the computational parameters to generate composition parameters.

In an embodiment, composition parameters for an audio work include moodclassification, genre classification, drum transcription, chordestimation, downbeat estimation, key detection, onset detection, tempoestimation, lyrics-to-audio alignment, melody extraction, beat tracking,voice identification, attack, decay, sustain, release, velocity, tempo,pitch, instrument.

In an embodiment, composition parameters for a video work includeforeground, background, scene classification, object identification,object recognition, pose estimation (of a person), objectionable contentqualification (violent, scary, bloody, etc.), speed of scene motion,depth map determination for objects, and transparency of objects (whencomposited from multiple views or sources). Similarly, music, may havecomposition parameters like instrument, tempo, speed, pitch, timing,key, timbre, etc. that are unique to each production. Both types of artworks may include parameters that are specified for performance (e.g.pre-mix and creation) and playback (e.g. post-mix modifications likedistortion) that can also be described.

In another embodiment, other forms of physical art (sculptures) ordigital facsimiles in an augmented reality (AR) or virtual reality (VR)experience may also be represented with composition parameters such assize, texture, color, weight, transparency, flexibility, reflectivity.Additional parameters specific to physical objects can be placement ofthe object, both relative to other objects (two Greek sculptures ofdemigods must be adjacent) or absolute positioning (David is outside theDuomo in Florence, Italy)—both of which may be used for authenticationand proper viewing or consumption capabilities.

In step 212, the computational parameters are searched and indexedagainst prior content. Step 213 illustrates composition parameters thatare detected by the data modeling machine 203. To determine compositionparameters, content analysis techniques in watermarking, generalizedrecognition (e.g., a certain appearance or object structure) andprocedural effects (e.g., blurring from an original) may be detected bydirect analysis or by an algorithm exhaustively executing a battery ofknown (or possible) modifications to recover the parameterization. See,e.g., Tian-Tsong Ng et. al, “Using Geometry Invariants for CameraResponse Function Estimation,” in IEEE Conference on Computer Vision andPattern Recognition (CVPR), Minneapolis (June 2007) (determiningmodifications from the original device distortions, i.e., the imageproperties of a camera's capture sensors), which is incorporated byreference herein. In another example, plugins that are popularlyassociated with photo, video, audio editing tools may be incorporated todiscover how the plugins were utilized to alter a prior artwork anddrive the current artwork in question. See, e.g., Kennedy et al.,“Internet Image Archaeology: Automatically Tracing the ManipulationHistory of Photographs on the Web,” ACM Multimedia 2008, Vancouver,Canada (October 2008) (tracking editing operations of photos), which isincorporated by reference herein. If a similar or matching work isfound, this fact is recorded in a blockchain ledger 202. Hence, theblockchain ledger 202 builds a catalog for attribution of art andcontent from computationally generated sources (or just-in-timestreaming for video/audio).

In step 214, an attribution analysis and scoring are recorded in theblockchain ledger 202. The blockchain ledger 202 provides the ability totrack the work and provides an attribution and usage audit trail of thework. The blockchain ledger 202 allows understanding of usermanipulations in transit, preferred parameter combinations, emergingtrends in content, and similarity scoring across parameter versionswhich were previously not accounted for in computational compositions.The system can also estimate a confidence level of the one or more worksfound during the searching having that have similar compositionparameters. The results of this analysis may also be provided to theequipment 201 of the creator.

In an exemplary embodiment, a musician makes a song, and submits mediacontent including the song to the system 200. After fingerprintinganalysis, the parameters for the song are recorded in the blockchainledger 202. Anytime thereafter, if the musician's song is used, eitherin its original performance, a cover, or even a sampling, the musicianwill be provided with a notification of the use of that song.

FIG. 2B is a block diagram illustrating an example, non-limitingembodiment of a new asset validation and notification flow diagram for asystem functioning within the communication network of FIG. 1 inaccordance with various aspects described herein.

In step 220, the equipment 207 of the user submits compositionparameters for machine-based performance of a work to the playbacksynthesis engine 206.

While the playback synthesis engine 206 is reproducing the work, in step221 the playback synthesis engine 206 renders the work for the equipment207 of the user and sends the generated work to the data modelingmachine 203 for fingerprinting analysis.

Next in step 222, the data modeling machine 203 sends the parametersderived from the performance to the blockchain ledger 202 for search andvalidation to ensure that the performance has the correct parameters toremain true to the work. If the blockchain ledger 202 detects an error,then the process continues to step 223.

In step 223, the blockchain ledger 202 sends a notification of the errorto the equipment 201 of the creator, and to the equipment 207 of theuser.

In step 224, the blockchain ledger 202 may also send a notification ofthe error to the playback synthesis engine 206. In this embodiment, theplayback synthesis engine 206 will change the rendering of the work,so-called playback filtering, so that the violation or error isresolved.

In an exemplary embodiment, the user plays an audio work frominstructions stored on a media, for example from a compact disc. Forexample, the audio work may be a guitar track sampled from a song andremixed into another song. The digital data from the compact disc issent to the playback synthesis engine 206, which provides either theinstructions provided to the playback synthesis engine 206 or the audiostream generated by the playback synthesis engine 206 to the datamodeling machine 203. The data modeling machine 203 detects that thework is a violation because of the attributes stored in the blockchainledger 202 and notifies the playback synthesis engine 206. Instead ofrendering the remixed song, the playback synthesis engine 206 rendersthe original audio work bearing the sampled guitar track. Notificationsof the violation are provided to both the equipment 201 of the creatorand the equipment 207 of the user.

FIG. 2C is a block diagram illustrating an example, non-limitingembodiment of an asset playback flow diagram for a system functioningwithin the communication network of FIG. 1 in accordance with variousaspects described herein.

In step 230, the equipment 207 of the user requests playback of contentfor machine-based performance of an existing work to the playbacksynthesis engine 206. The work may be a performance version, i.e.,without parameters for a computational composition, or it may be acomputational composition replete with parameters.

In step 231, the playback synthesis engine 206 queries the blockchainledger 202 for indicia of the work, including composition parameters.The query will yield versions of the work that are available via theblockchain ledger 202.

In step 232, the blockchain ledger 202 transforms the compositionparameters to computational parameters in the computational parameterdatabase 204 for the work, resultant to the query.

Next, in step 233, the transit contextualizes or personalizes the workfor the user. This personalization can be based on a location of theuser (i.e., is the user “in transit—if so, reformat for playback in acar, etc.), the user's mood, a profile for the user, etc. In anembodiment, when a modified version of content is detected, theparameter estimation can be used to “rewind” or “undo” the modificationsand recover original content at playback instead of relying on andarchived copy stored in a content delivery network source, for example.

Then, in step 234, the playback synthesis engine 206 receives synthesisinstructions for generating the work for the user, including the transitparameters selected by the system for the user from the transitparameter database 205.

Next, in step 235, the playback synthesis engine 206 renders the workfor playback, providing the content to the equipment 207 of the user,considering the transit parameters.

Then in step 236, the equipment 207 of the user modifies the work byproviding transit parameters. For example, the user can provide inputindicating they might want the work to be “brighter” or more “upbeat.”In another example, the user may want to eliminate all the vocal tracksfrom a musical work and just play the melody. The equipment 207 of theuser would generate these transit parameters and send them to thetransit parameter database 205. In an embodiment, machine learning andpattern recognition can be used to discover sets of transit parametersthat are often modified together such that “one touch” modifications canbe created for user/consumer or content creator while attachingsemantics or audience-based reactions (e.g., auto-derive a “cool” meterthat changes from emo/sad music to pop/hip-hop tempo in a single touch).The system allows user to interact with media for highly customized andlocal playback.

Next in step 237, the transit parameters specified by the user areprovided by the transit parameter database 205 to update the blockchainledger 202. When the transit parameters are used to modify the work, themodified work is created as another performance example, which is storedin the blockchain ledger 202 for attribution and assessment ofin-transit parameterizations as additional modifications and trackedderivations of content/art are created. Hence, the system 200 provides aframework for detection of fraud and tampering on delivery (replaceactor, deep fake modifications of content after/during playback). Thesystem can accommodate both parameter-based attacks (e.g. manipulationsfor the playback synthesis engine 206) and content-based attacks(manipulations of the resultant stream). Furthermore, the blockchainledger 202 provides an audit trail for violations and changes comparedagainst ledger for identification of fraud “actor”; specific actors inviolation that can be discovered because of subsequent query against theblockchain ledger 202.

In an embodiment, the blockchain ledger 202 can be used in conjunctionwith a smart contract to require virtual payment for the modification ofthe work. In another embodiment, the blockchain ledger 202 can trackparameter differences and enable specific limitations to be placed onparameters for playback or other compositions (e.g., don't play fasterthan 2×, don't change volume by more than 1.6×). Such specificlimitations can be submitted by equipment 201 of the creator (see FIG.2A).

Also, in step 238, the user's transit parameters are provided by thetransit parameter database 205 to update the playback synthesis engine206, so that it can generate a performance of the work as modified bythe user's instructions, as permitted by any limitations.

In step 239, the playback synthesis engine 206 resynthesizes the workfor playback on equipment 207 of the user.

While for purposes of simplicity of explanation, the respectiveprocesses are shown and described as a series of blocks in FIGS. 2A, 2Band 2C, it is to be understood and appreciated that the claimed subjectmatter is not limited by the order of the blocks, as some blocks mayoccur in different orders and/or concurrently with other blocks fromwhat is depicted and described herein. Moreover, not all illustratedblocks may be required to implement the methods described herein.

Referring now to FIG. 3, a block diagram 300 is shown illustrating anexample, non-limiting embodiment of a virtualized communication networkin accordance with various aspects described herein. A virtualizedcommunication network is presented that can be used to implement some orall the subsystems and functions of communication network 100, thesubsystems and functions of system 200, and methods presented in FIGS.1, 2A, 2B, 2C and 3. For example, virtualized communication network 300can facilitate in whole or in part receiving media content fromequipment, searching for the composition parameters in a blockchainledger for one or more matching works, providing a performance of themedia content to the equipment and reporting any matching works found tothe equipment.

A cloud networking architecture is shown that leverages cloudtechnologies and supports rapid innovation and scalability via atransport layer 350, a virtualized network function cloud 325 and/or oneor more cloud computing environments 375. In various embodiments, thiscloud networking architecture is an open architecture that leveragesapplication programming interfaces (APIs); reduces complexity fromservices and operations; supports more nimble business models; andrapidly and seamlessly scales to meet evolving customer requirementsincluding traffic growth, diversity of traffic types, and diversity ofperformance and reliability expectations.

In contrast to traditional network elements—which are typicallyintegrated to perform a single function, the virtualized communicationnetwork employs virtual network elements (VNEs) 330, 332, 334, etc. thatperform some or all of the functions of network elements 150, 152, 154,156, etc. For example, the network architecture can provide a substrateof networking capability, often called Network Function VirtualizationInfrastructure (NFVI) or simply infrastructure that is capable of beingdirected with software and Software Defined Networking (SDN) protocolsto perform a broad variety of network functions and services. Thisinfrastructure can include several types of substrates. The most typicaltype of substrate being servers that support Network FunctionVirtualization (NFV), followed by packet forwarding capabilities basedon generic computing resources, with specialized network technologiesbrought to bear when general purpose processors or general purposeintegrated circuit devices offered by merchants (referred to herein asmerchant silicon) are not appropriate. In this case, communicationservices can be implemented as cloud-centric workloads.

As an example, a traditional network element 150 (shown in FIG. 1), suchas an edge router can be implemented via a VNE 330 composed of NFVsoftware modules, merchant silicon, and associated controllers. Thesoftware can be written so that increasing workload consumes incrementalresources from a common resource pool, and moreover so that it'selastic: so, the resources are only consumed when needed. In a similarfashion, other network elements such as other routers, switches, edgecaches, and middle boxes are instantiated from the common resource pool.Such sharing of infrastructure across a broad set of uses makes planningand growing infrastructure easier to manage.

In an embodiment, the transport layer 350 includes fiber, cable, wiredand/or wireless transport elements, network elements and interfaces toprovide broadband access 110, wireless access 120, voice access 130,media access 140 and/or access to content sources 175 for distributionof content to any or all of the access technologies. In some cases, anetwork element needs to be positioned at a specific place, and thisallows for less sharing of common infrastructure. Other times, thenetwork elements have specific physical layer adapters that cannot beabstracted or virtualized and might require special DSP code and analogfront ends (AFEs) that do not lend themselves to implementation as VNEs330, 332 or 334. These network elements can be included in transportlayer 350.

The virtualized network function cloud 325 interfaces with the transportlayer 350 to provide the VNEs 330, 332, 334, etc. to provide specificNFVs. In particular, the virtualized network function cloud 325leverages cloud operations, applications, and architectures to supportnetworking workloads. The virtualized network elements 330, 332 and 334can employ network function software that provides either a one-for-onemapping of traditional network element function or alternately somecombination of network functions designed for cloud computing. Forexample, VNEs 330, 332 and 334 can include route reflectors, domain namesystem (DNS) servers, and dynamic host configuration protocol (DHCP)servers, system architecture evolution (SAE) and/or mobility managemententity (MME) gateways, broadband network gateways, IP edge routers forIP-VPN, Ethernet and other services, load balancers, distributers andother network elements. Because these elements don't typically need toforward large amounts of traffic, their workload can be distributedacross several servers—each of which adds a portion of the capability,and overall, which creates an elastic function with higher availabilitythan its former monolithic version. These virtual network elements 330,332, 334, etc. can be instantiated and managed using an orchestrationapproach like those used in cloud compute services.

The cloud computing environments 375 can interface with the virtualizednetwork function cloud 325 via APIs that expose functional capabilitiesof the VNEs 330, 332, 334, etc. to provide the flexible and expandedcapabilities to the virtualized network function cloud 325. Networkworkloads may have applications distributed across the virtualizednetwork function cloud 325 and cloud computing environment 375 and inthe commercial cloud or might simply orchestrate workloads supportedentirely in NFV infrastructure from these third-party locations.

Turning now to FIG. 4, there is illustrated a block diagram of acomputing environment in accordance with various aspects describedherein. In order to provide additional context for various embodimentsof the embodiments described herein, FIG. 4 and the following discussionare intended to provide a brief, general description of a suitablecomputing environment 400 in which the various embodiments of thesubject disclosure can be implemented. Computing environment 400 can beused in the implementation of network elements 150, 152, 154, 156,access terminal 112, base station or access point 122, switching device132, media terminal 142, and/or VNEs 330, 332, 334, etc. Each of thesedevices can be implemented via computer-executable instructions that canrun on one or more computers, and/or in combination with other programmodules and/or as a combination of hardware and software. For example,computing environment 400 can facilitate in whole or in part receivingmedia content from equipment, searching for the composition parametersin a blockchain ledger for one or more matching works, providing aperformance of the media content to the equipment and reporting anymatching works found to the equipment.

Generally, program modules comprise routines, programs, components, datastructures, etc., that perform tasks or implement abstract data types.Moreover, those skilled in the art will appreciate that the methods canbe practiced with other computer system configurations, comprisingsingle-processor or multiprocessor computer systems, minicomputers,mainframe computers, as well as personal computers, hand-held computingdevices, microprocessor-based or programmable consumer electronics, andthe like, each of which can be operatively coupled to one or moreassociated devices.

As used herein, a processing circuit includes one or more processors aswell as other application specific circuits such as an applicationspecific integrated circuit, digital logic circuit, state machine,programmable gate array or other circuit that processes input signals ordata and that produces output signals or data in response thereto. Itshould be noted that while any functions and features described hereinin association with the operation of a processor could likewise beperformed by a processing circuit.

The illustrated embodiments of the embodiments herein can be alsopracticed in distributed computing environments where certain tasks areperformed by remote processing devices that are linked through acommunications network. In a distributed computing environment, programmodules can be in both local and remote memory storage devices.

Computing devices typically comprise a variety of media, which cancomprise computer-readable storage media and/or communications media,which two terms are used herein differently from one another as follows.Computer-readable storage media can be any available storage media thatcan be accessed by the computer and comprises both volatile andnonvolatile media, removable and non-removable media. By way of example,and not limitation, computer-readable storage media can be implementedin connection with any method or technology for storage of informationsuch as computer-readable instructions, program modules, structured dataor unstructured data.

Computer-readable storage media can comprise, but are not limited to,random access memory (RAM), read only memory (ROM), electricallyerasable programmable read only memory (EEPROM), flash memory or othermemory technology, compact disk read only memory (CD-ROM), digitalversatile disk (DVD) or other optical disk storage, magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devicesor other tangible and/or non-transitory media which can be used to storedesired information. In this regard, the terms “tangible” or“non-transitory” herein as applied to storage, memory orcomputer-readable media, are to be understood to exclude onlypropagating transitory signals per se as modifiers and do not relinquishrights to all standard storage, memory or computer-readable media thatare not only propagating transitory signals per se.

Computer-readable storage media can be accessed by one or more local orremote computing devices, e.g., via access requests, queries or otherdata retrieval protocols, for a variety of operations with respect tothe information stored by the medium.

Communications media typically embody computer-readable instructions,data structures, program modules or other structured or unstructureddata in a data signal such as a modulated data signal, e.g., a carrierwave or other transport mechanism, and comprises any informationdelivery or transport media. The term “modulated data signal” or signalsrefers to a signal that has one or more of its characteristics set orchanged in such a manner as to encode information in one or moresignals. By way of example, and not limitation, communication mediacomprise wired media, such as a wired network or direct-wiredconnection, and wireless media such as acoustic, RF, infrared and otherwireless media.

With reference again to FIG. 4, the example environment can comprise acomputer 402, the computer 402 comprising a processing unit 404, asystem memory 406 and a system bus 408. The system bus 408 couplessystem components including, but not limited to, the system memory 406to the processing unit 404. The processing unit 404 can be any ofvarious commercially available processors. Dual microprocessors andother multiprocessor architectures can also be employed as theprocessing unit 404.

The system bus 408 can be any of several types of bus structure that canfurther interconnect to a memory bus (with or without a memorycontroller), a peripheral bus, and a local bus using any of a variety ofcommercially available bus architectures. The system memory 406comprises ROM 410 and RAM 412. A basic input/output system (BIOS) can bestored in a non-volatile memory such as ROM, erasable programmable readonly memory (EPROM), EEPROM, which BIOS contains the basic routines thathelp to transfer information between elements within the computer 402,such as during startup. The RAM 412 can also comprise a high-speed RAMsuch as static RAM for caching data.

The computer 402 further comprises an internal hard disk drive (HDD) 414(e.g., EIDE, SATA), which internal HDD 414 can also be configured forexternal use in a suitable chassis (not shown), a magnetic floppy diskdrive (FDD) 416, (e.g., to read from or write to a removable diskette418) and an optical disk drive 420, (e.g., reading a CD-ROM disk 422 or,to read from or write to other high capacity optical media such as theDVD). The HDD 414, magnetic FDD 416 and optical disk drive 420 can beconnected to the system bus 408 by a hard disk drive interface 424, amagnetic disk drive interface 426 and an optical drive interface 428,respectively. The hard disk drive interface 424 for external driveimplementations comprises at least one or both of Universal Serial Bus(USB) and Institute of Electrical and Electronics Engineers (IEEE) 1394interface technologies. Other external drive connection technologies arewithin contemplation of the embodiments described herein.

The drives and their associated computer-readable storage media providenonvolatile storage of data, data structures, computer-executableinstructions, and so forth. For the computer 402, the drives and storagemedia accommodate the storage of any data in a suitable digital format.Although the description of computer-readable storage media above refersto a hard disk drive (HDD), a removable magnetic diskette, and aremovable optical media such as a CD or DVD, it should be appreciated bythose skilled in the art that other types of storage media which arereadable by a computer, such as zip drives, magnetic cassettes, flashmemory cards, cartridges, and the like, can also be used in the exampleoperating environment, and further, that any such storage media cancontain computer-executable instructions for performing the methodsdescribed herein.

Several program modules can be stored in the drives and RAM 412,comprising an operating system 430, one or more application programs432, other program modules 434 and program data 436. All or portions ofthe operating system, applications, modules, and/or data can also becached in the RAM 412. The systems and methods described herein can beimplemented utilizing various commercially available operating systemsor combinations of operating systems.

A user can enter commands and information into the computer 402 throughone or more wired/wireless input devices, e.g., a keyboard 438 and apointing device, such as a mouse 440. Other input devices (not shown)can comprise a microphone, an infrared (IR) remote control, a joystick,a game pad, a stylus pen, touch screen or the like. These and otherinput devices are often connected to the processing unit 404 through aninput device interface 442 that can be coupled to the system bus 408,but can be connected by other interfaces, such as a parallel port, anIEEE 1394 serial port, a game port, a universal serial bus (USB) port,an IR interface, etc.

A monitor 444 or other type of display device can be also connected tothe system bus 408 via an interface, such as a video adapter 446. Itwill also be appreciated that in alternative embodiments, a monitor 444can also be any display device (e.g., another computer having a display,a smart phone, a tablet computer, etc.) for receiving displayinformation associated with computer 402 via any communication means,including via the Internet and cloud-based networks. In addition to themonitor 444, a computer typically comprises other peripheral outputdevices (not shown), such as speakers, printers, etc.

The computer 402 can operate in a networked environment using logicalconnections via wired and/or wireless communications to one or moreremote computers, such as a remote computer(s) 448. The remotecomputer(s) 448 can be a workstation, a server computer, a router, apersonal computer, portable computer, microprocessor-based entertainmentappliance, a peer device or other common network node, and typicallycomprises many or all of the elements described relative to the computer402, although, for purposes of brevity, only a remote memory/storagedevice 450 is illustrated. The logical connections depicted comprisewired/wireless connectivity to a local area network (LAN) 452 and/orlarger networks, e.g., a wide area network (WAN) 454. Such LAN and WANnetworking environments are commonplace in offices and companies, andfacilitate enterprise-wide computer networks, such as intranets, all ofwhich can connect to a global communications network, e.g., theInternet.

When used in a LAN networking environment, the computer 402 can beconnected to the LAN 452 through a wired and/or wireless communicationnetwork interface or adapter 456. The adapter 456 can facilitate wiredor wireless communication to the LAN 452, which can also comprise awireless AP disposed thereon for communicating with the adapter 456.

When used in a WAN networking environment, the computer 402 can comprisea modem 458 or can be connected to a communications server on the WAN454 or has other means for establishing communications over the WAN 454,such as by way of the Internet. The modem 458, which can be internal orexternal and a wired or wireless device, can be connected to the systembus 408 via the input device interface 442. In a networked environment,program modules depicted relative to the computer 402 or portionsthereof, can be stored in the remote memory/storage device 450. It willbe appreciated that the network connections shown are example and othermeans of establishing a communications link between the computers can beused.

The computer 402 can be operable to communicate with any wirelessdevices or entities operatively disposed in wireless communication,e.g., a printer, scanner, desktop and/or portable computer, portabledata assistant, communications satellite, any piece of equipment orlocation associated with a wirelessly detectable tag (e.g., a kiosk,news stand, restroom), and telephone. This can comprise WirelessFidelity (Wi-Fi) and BLUETOOTH® wireless technologies. Thus, thecommunication can be a predefined structure as with a conventionalnetwork or simply an ad hoc communication between at least two devices.

Wi-Fi can allow connection to the Internet from a couch at home, a bedin a hotel room or a conference room at work, without wires. Wi-Fi is awireless technology like that used in a cell phone that enables suchdevices, e.g., computers, to send and receive data indoors and out;anywhere within the range of a base station. Wi-Fi networks use radiotechnologies called IEEE 802.11 (a, b, g, n, ac, ag, etc.) to providesecure, reliable, fast wireless connectivity. A Wi-Fi network can beused to connect computers to each other, to the Internet, and to wirednetworks (which can use IEEE 802.3 or Ethernet). Wi-Fi networks operatein the unlicensed 2.4 and 5 GHz radio bands for example or with productsthat contain both bands (dual band), so the networks can providereal-world performance like the basic 10BaseT wired Ethernet networksused in many offices.

Turning now to FIG. 5, an embodiment 500 of a mobile network platform510 is shown that is an example of network elements 150, 152, 154, 156,and/or VNEs 330, 332, 334, etc. For example, platform 510 can facilitatein whole or in part receiving media content from equipment, searchingfor the composition parameters in a blockchain ledger for one or morematching works, providing a performance of the media content to theequipment and reporting any matching works found to the equipment. Inone or more embodiments, the mobile network platform 510 can generateand receive signals transmitted and received by base stations or accesspoints such as base station or access point 122. Generally, mobilenetwork platform 510 can comprise components, e.g., nodes, gateways,interfaces, servers, or disparate platforms, that facilitate bothpacket-switched (PS) (e.g., internet protocol (IP), frame relay,asynchronous transfer mode (ATM)) and circuit-switched (CS) traffic(e.g., voice and data), as well as control generation for networkedwireless telecommunication. As a non-limiting example, mobile networkplatform 510 can be included in telecommunications carrier networks andcan be considered carrier-side components as discussed elsewhere herein.Mobile network platform 510 comprises CS gateway node(s) 512 which caninterface CS traffic received from legacy networks like telephonynetwork(s) 540 (e.g., public switched telephone network (PSTN), orpublic land mobile network (PLMN)) or a signaling system #7 (SS7)network 560. CS gateway node(s) 512 can authorize and authenticatetraffic (e.g., voice) arising from such networks. Additionally, CSgateway node(s) 512 can access mobility, or roaming, data generatedthrough SS7 network 560; for instance, mobility data stored in a visitedlocation register (VLR), which can reside in memory 530. Moreover, CSgateway node(s) 512 interfaces CS-based traffic and signaling and PSgateway node(s) 518. As an example, in a 3GPP UMTS network, CS gatewaynode(s) 512 can be realized at least in part in gateway GPRS supportnode(s) (GGSN). It should be appreciated that functionality and specificoperation of CS gateway node(s) 512, PS gateway node(s) 518, and servingnode(s) 516, is provided and dictated by radio technology(ies) utilizedby mobile network platform 510 for telecommunication over a radio accessnetwork 520 with other devices, such as a radiotelephone 575.

In addition to receiving and processing CS-switched traffic andsignaling, PS gateway node(s) 518 can authorize and authenticatePS-based data sessions with served mobile devices. Data sessions cancomprise traffic, or content(s), exchanged with networks external to themobile network platform 510, like wide area network(s) (WANs) 550,enterprise network(s) 570, and service network(s) 580, which can beembodied in local area network(s) (LANs), can also be interfaced withmobile network platform 510 through PS gateway node(s) 518. It is to benoted that WANs 550 and enterprise network(s) 570 can embody, at leastin part, a service network(s) like IP multimedia subsystem (IMS). Basedon radio technology layer(s) available in technology resource(s) orradio access network 520, PS gateway node(s) 518 can generate packetdata protocol contexts when a data session is established; other datastructures that facilitate routing of packetized data also can begenerated. To that end, in an aspect, PS gateway node(s) 518 cancomprise a tunnel interface (e.g., tunnel termination gateway (TTG) in3GPP UMTS network(s) (not shown)) which can facilitate packetizedcommunication with disparate wireless network(s), such as Wi-Finetworks.

In embodiment 500, mobile network platform 510 also comprises servingnode(s) 516 that, based upon available radio technology layer(s) withintechnology resource(s) in the radio access network 520, convey thevarious packetized flows of data streams received through PS gatewaynode(s) 518. It is to be noted that for technology resource(s) that relyprimarily on CS communication, server node(s) can deliver trafficwithout reliance on PS gateway node(s) 518; for example, server node(s)can embody at least in part a mobile switching center. As an example, ina 3GPP UMTS network, serving node(s) 516 can be embodied in serving GPRSsupport node(s) (SGSN).

For radio technologies that exploit packetized communication, server(s)514 in mobile network platform 510 can execute numerous applicationsthat can generate multiple disparate packetized data streams or flows,and manage (e.g., schedule, queue, format . . . ) such flows. Suchapplication(s) can comprise add-on features to standard services (forexample, provisioning, billing, customer support . . . ) provided bymobile network platform 510. Data streams (e.g., content(s) that arepart of a voice call or data session) can be conveyed to PS gatewaynode(s) 518 for authorization/authentication and initiation of a datasession, and to serving node(s) 516 for communication thereafter. Inaddition to application server, server(s) 514 can comprise utilityserver(s), a utility server can comprise a provisioning server, anoperations and maintenance server, a security server that can implementat least in part a certificate authority and firewalls as well as othersecurity mechanisms, and the like. In an aspect, security server(s)secure communication served through mobile network platform 510 toensure network's operation and data integrity in addition toauthorization and authentication procedures that CS gateway node(s) 512and PS gateway node(s) 518 can enact. Moreover, provisioning server(s)can provision services from external network(s) like networks operatedby a disparate service provider; for instance, WAN 550 or GlobalPositioning System (GPS) network(s) (not shown). Provisioning server(s)can also provision coverage through networks associated to mobilenetwork platform 510 (e.g., deployed and operated by the same serviceprovider), such as the distributed antennas networks shown in FIG. 1(s)that enhance wireless service coverage by providing more networkcoverage.

It is to be noted that server(s) 514 can comprise one or more processorsconfigured to confer at least in part the functionality of mobilenetwork platform 510. To that end, the one or more processor can executecode instructions stored in memory 530, for example. It should beappreciated that server(s) 514 can comprise a content manager, whichoperates in substantially the same manner as described hereinbefore.

In example embodiment 500, memory 530 can store information related tooperation of mobile network platform 510. Other operational informationcan comprise provisioning information of mobile devices served throughmobile network platform 510, subscriber databases; applicationintelligence, pricing schemes, e.g., promotional rates, flat-rateprograms, couponing campaigns; technical specification(s) consistentwith telecommunication protocols for operation of disparate radio, orwireless, technology layers; and so forth. Memory 530 can also storeinformation from at least one of telephony network(s) 540, WAN 550, SS7network 560, or enterprise network(s) 570. In an aspect, memory 530 canbe, for example, accessed as part of a data store component or as aremotely connected memory store.

In order to provide a context for the various aspects of the disclosedsubject matter, FIG. 5, and the following discussion, are intended toprovide a brief, general description of a suitable environment in whichthe various aspects of the disclosed subject matter can be implemented.While the subject matter has been described above in the general contextof computer-executable instructions of a computer program that runs on acomputer and/or computers, those skilled in the art will recognize thatthe disclosed subject matter also can be implemented in combination withother program modules. Generally, program modules comprise routines,programs, components, data structures, etc. that perform tasks and/orimplement abstract data types.

Turning now to FIG. 6, an illustrative embodiment of a communicationdevice 600 is shown. The communication device 600 can serve as anillustrative embodiment of devices such as data terminals 114, mobiledevices 124, vehicle 126, display devices 144 or other client devicesfor communication via either communications network 125. For example,computing device 600 can facilitate in whole or in part receiving mediacontent from equipment, searching for the composition parameters in ablockchain ledger for one or more matching works, providing aperformance of the media content to the equipment and reporting anymatching works found to the equipment.

The communication device 600 can comprise a wireline and/or wirelesstransceiver 602 (herein transceiver 602), a user interface (UI) 604, apower supply 614, a location receiver 616, a motion sensor 618, anorientation sensor 620, and a controller 606 for managing operationsthereof. The transceiver 602 can support short-range or long-rangewireless access technologies such as Bluetooth®, ZigBee®, Wi-Fi, DECT,or cellular communication technologies, just to mention a few(Bluetooth® and ZigBee® are trademarks registered by the Bluetooth®Special Interest Group and the ZigBee® Alliance, respectively). Cellulartechnologies can include, for example, CDMA-1X, UMTS/HSDPA, GSM/GPRS,TDMA/EDGE, EV/DO, WiMAX, SDR, LTE, as well as other next generationwireless communication technologies as they arise. The transceiver 602can also be adapted to support circuit-switched wireline accesstechnologies (such as PSTN), packet-switched wireline accesstechnologies (such as TCP/IP, VoIP, etc.), and combinations thereof.

The UI 604 can include a depressible or touch-sensitive keypad 608 witha navigation mechanism such as a roller ball, a joystick, a mouse, or anavigation disk for manipulating operations of the communication device600. The keypad 608 can be an integral part of a housing assembly of thecommunication device 600 or an independent device operably coupledthereto by a tethered wireline interface (such as a USB cable) or awireless interface supporting for example Bluetooth®. The keypad 608 canrepresent a numeric keypad commonly used by phones, and/or a QWERTYkeypad with alphanumeric keys. The UI 604 can further include a display610 such as monochrome or color LCD (Liquid Crystal Display), OLED(Organic Light Emitting Diode) or other suitable display technology forconveying images to an end user of the communication device 600. In anembodiment where the display 610 is touch-sensitive, a portion or all ofthe keypad 608 can be presented by way of the display 610 withnavigation features.

The display 610 can use touch screen technology to also serve as a userinterface for detecting user input. As a touch screen display, thecommunication device 600 can be adapted to present a user interfacehaving graphical user interface (GUI) elements that can be selected by auser with a touch of a finger. The display 610 can be equipped withcapacitive, resistive or other forms of sensing technology to detect howmuch surface area of a user's finger has been placed on a portion of thetouch screen display. This sensing information can be used to controlthe manipulation of the GUI elements or other functions of the userinterface. The display 610 can be an integral part of the housingassembly of the communication device 600 or an independent devicecommunicatively coupled thereto by a tethered wireline interface (suchas a cable) or a wireless interface.

The UI 604 can also include an audio system 612 that utilizes audiotechnology for conveying low volume audio (such as audio heard inproximity of a human ear) and high-volume audio (such as speakerphonefor hands free operation). The audio system 612 can further include amicrophone for receiving audible signals of an end user. The audiosystem 612 can also be used for voice recognition applications. The UI604 can further include an image sensor 613 such as a charged coupleddevice (CCD) camera for capturing still or moving images.

The power supply 614 can utilize common power management technologiessuch as replaceable and rechargeable batteries, supply regulationtechnologies, and/or charging system technologies for supplying energyto the components of the communication device 600 to facilitatelong-range or short-range portable communications. Alternatively, or incombination, the charging system can utilize external power sources suchas DC power supplied over a physical interface such as a USB port orother suitable tethering technologies.

The location receiver 616 can utilize location technology such as aglobal positioning system (GPS) receiver capable of assisted GPS foridentifying a location of the communication device 600 based on signalsgenerated by a constellation of GPS satellites, which can be used forfacilitating location services such as navigation. The motion sensor 618can utilize motion sensing technology such as an accelerometer, agyroscope, or other suitable motion sensing technology to detect motionof the communication device 600 in three-dimensional space. Theorientation sensor 620 can utilize orientation sensing technology suchas a magnetometer to detect the orientation of the communication device600 (north, south, west, and east, as well as combined orientations indegrees, minutes, or other suitable orientation metrics).

The communication device 600 can use the transceiver 602 to alsodetermine a proximity to a cellular, Wi-Fi, Bluetooth®, or otherwireless access points by sensing techniques such as utilizing areceived signal strength indicator (RSSI) and/or signal time of arrival(TOA) or time of flight (TOF) measurements. The controller 606 canutilize computing technologies such as a microprocessor, a digitalsignal processor (DSP), programmable gate arrays, application specificintegrated circuits, and/or a video processor with associated storagememory such as Flash, ROM, RAM, SRAM, DRAM or other storage technologiesfor executing computer instructions, controlling, and processing datasupplied by the aforementioned components of the communication device600.

Other components not shown in FIG. 6 can be used in one or moreembodiments of the subject disclosure. For instance, the communicationdevice 600 can include a slot for adding or removing an identity modulesuch as a Subscriber Identity Module (SIM) card or Universal IntegratedCircuit Card (UICC). SIM or UICC cards can be used for identifyingsubscriber services, executing programs, storing subscriber data, and soon.

The terms “first,” “second,” “third,” and so forth, as used in theclaims, unless otherwise clear by context, is for clarity only anddoesn't otherwise indicate or imply any order in time. For instance, “afirst determination,” “a second determination,” and “a thirddetermination,” does not indicate or imply that the first determinationis to be made before the second determination, or vice versa, etc.

In the subject specification, terms such as “store,” “storage,” “datastore,” data storage,” “database,” and substantially any otherinformation storage component relevant to operation and functionality ofa component, refer to “memory components,” or entities embodied in a“memory” or components comprising the memory. It will be appreciatedthat the memory components described herein can be either volatilememory or nonvolatile memory, or can comprise both volatile andnonvolatile memory, by way of illustration, and not limitation, volatilememory, non-volatile memory, disk storage, and memory storage. Further,nonvolatile memory can be included in read only memory (ROM),programmable ROM (PROM), electrically programmable ROM (EPROM),electrically erasable ROM (EEPROM), or flash memory. Volatile memory cancomprise random access memory (RAM), which acts as external cachememory. By way of illustration and not limitation, RAM is available inmany forms such as synchronous RAM (SRAM), dynamic RAM (DRAM),synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhancedSDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM).Additionally, the disclosed memory components of systems or methodsherein are intended to comprise, without being limited to comprising,these and any other suitable types of memory.

Moreover, it will be noted that the disclosed subject matter can bepracticed with other computer system configurations, comprisingsingle-processor or multiprocessor computer systems, mini-computingdevices, mainframe computers, as well as personal computers, hand-heldcomputing devices (e.g., PDA, phone, smartphone, watch, tabletcomputers, netbook computers, etc.), microprocessor-based orprogrammable consumer or industrial electronics, and the like. Theillustrated aspects can also be practiced in distributed computingenvironments where tasks are performed by remote processing devices thatare linked through a communications network; however, some if not allaspects of the subject disclosure can be practiced on stand-alonecomputers. In a distributed computing environment, program modules canbe in both local and remote memory storage devices.

In one or more embodiments, information regarding use of services can begenerated including services being accessed, media consumption history,user preferences, and so forth. This information can be obtained byvarious methods including user input, detecting types of communications(e.g., video content vs. audio content), analysis of content streams,sampling, and so forth. The generating, obtaining and/or monitoring ofthis information can be responsive to an authorization provided by theuser. In one or more embodiments, an analysis of data can be subject toauthorization from user(s) associated with the data, such as an opt-in,an opt-out, acknowledgement requirements, notifications, selectiveauthorization based on types of data, and so forth.

Some of the embodiments described herein can also employ artificialintelligence (AI) to facilitate automating one or more featuresdescribed herein. The embodiments (e.g., in connection withautomatically identifying acquired cell sites that provide a maximumvalue/benefit after addition to an existing communication network) canemploy various AI-based schemes for carrying out various embodimentsthereof. Moreover, the classifier can be employed to determine a rankingor priority of each cell site of the acquired network. A classifier is afunction that maps an input attribute vector, x=(x₁, x₂, x₃, x₄ . . .x_(n)), to a confidence that the input belongs to a class, that is,f(x)=confidence (class). Such classification can employ a probabilisticand/or statistical-based analysis (e.g., factoring into the analysisutilities and costs) to determine or infer an action that a user desiresto be automatically performed. A support vector machine (SVM) is anexample of a classifier that can be employed. The SVM operates byfinding a hypersurface in the space of possible inputs, which thehypersurface attempts to split the triggering criteria from thenon-triggering events. Intuitively, this makes the classificationcorrect for testing data that is near, but not identical to trainingdata. Other directed and undirected model classification approachescomprise, e.g., naïve Bayes, Bayesian networks, decision trees, neuralnetworks, fuzzy logic models, and probabilistic classification modelsproviding different patterns of independence can be employed.Classification as used herein also is inclusive of statisticalregression that is utilized to develop models of priority.

As will be readily appreciated, one or more of the embodiments canemploy classifiers that are explicitly trained (e.g., via a generictraining data) as well as implicitly trained (e.g., via observing UEbehavior, operator preferences, historical information, receivingextrinsic information). For example, SVMs can be configured via alearning or training phase within a classifier constructor and featureselection module. Thus, the classifier(s) can be used to automaticallylearn and perform a number of functions, including but not limited todetermining according to predetermined criteria which of the acquiredcell sites will benefit a maximum number of subscribers and/or which ofthe acquired cell sites will add minimum value to the existingcommunication network coverage, etc.

As used in some contexts in this application, in some embodiments, theterms “component,” “system” and the like are intended to refer to, orcomprise, a computer-related entity or an entity related to anoperational apparatus with one or more specific functionalities, whereinthe entity can be either hardware, a combination of hardware andsoftware, software, or software in execution. As an example, a componentmay be, but is not limited to being, a process running on a processor, aprocessor, an object, an executable, a thread of execution,computer-executable instructions, a program, and/or a computer. By wayof illustration and not limitation, both an application running on aserver and the server can be a component. One or more components mayreside within a process and/or thread of execution and a component maybe localized on one computer and/or distributed between two or morecomputers. In addition, these components can execute from variouscomputer readable media having various data structures stored thereon.The components may communicate via local and/or remote processes such asin accordance with a signal having one or more data packets (e.g., datafrom one component interacting with another component in a local system,distributed system, and/or across a network such as the Internet withother systems via the signal). As another example, a component can be anapparatus with specific functionality provided by mechanical partsoperated by electric or electronic circuitry, which is operated by asoftware or firmware application executed by a processor, wherein theprocessor can be internal or external to the apparatus and executes atleast a part of the software or firmware application. Yet anotherexample, a component can be an apparatus that provides specificfunctionality through electronic components without mechanical parts,the electronic components can comprise a processor therein to executesoftware or firmware that confers at least in part the functionality ofthe electronic components. While various components have beenillustrated as separate components, it will be appreciated that multiplecomponents can be implemented as a single component, or a singlecomponent can be implemented as multiple components, without departingfrom example embodiments.

Further, the various embodiments can be implemented as a method,apparatus or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware or anycombination thereof to control a computer to implement the disclosedsubject matter. The term “article of manufacture” as used herein isintended to encompass a computer program accessible from anycomputer-readable device or computer-readable storage/communicationsmedia. For example, computer readable storage media can include, but arenot limited to, magnetic storage devices (e.g., hard disk, floppy disk,magnetic strips), optical disks (e.g., compact disk (CD), digitalversatile disk (DVD)), smart cards, and flash memory devices (e.g.,card, stick, key drive). Of course, those skilled in the art willrecognize many modifications can be made to this configuration withoutdeparting from the scope or spirit of the various embodiments.

In addition, the words “example” and “exemplary” are used herein to meanserving as an instance or illustration. Any embodiment or designdescribed herein as “example” or “exemplary” is not necessarily to beconstrued as preferred or advantageous over other embodiments ordesigns. Rather, use of the word example or exemplary is intended topresent concepts in a concrete fashion. As used in this application, theterm “or” is intended to mean an inclusive “or” rather than an exclusive“or”. That is, unless specified otherwise or clear from context, “Xemploys A or B” is intended to mean any of the natural inclusivepermutations. That is, if X employs A; X employs B; or X employs both Aand B, then “X employs A or B” is satisfied under any of the foregoinginstances. In addition, the articles “a” and “an” as used in thisapplication and the appended claims should generally be construed tomean “one or more” unless specified otherwise or clear from context tobe directed to a singular form.

Moreover, terms such as “user equipment,” “mobile station,” “mobile,”subscriber station,” “access terminal,” “terminal,” “handset,” “mobiledevice” (and/or terms representing similar terminology) can refer to awireless device utilized by a subscriber or user of a wirelesscommunication service to receive or convey data, control, voice, video,sound, gaming or substantially any data-stream or signaling-stream. Theforegoing terms are utilized interchangeably herein and with referenceto the related drawings.

Furthermore, the terms “user,” “subscriber,” “customer,” “consumer” andthe like are employed interchangeably throughout, unless contextwarrants distinctions among the terms. It should be appreciated thatsuch terms can refer to human entities or automated components supportedthrough artificial intelligence (e.g., a capacity to make inferencebased, at least, on complex mathematical formalisms), which can providesimulated vision, sound recognition and so forth.

As employed herein, the term “processor” can refer to substantially anycomputing processing unit or device comprising, but not limited tocomprising, single-core processors; single-processors with softwaremultithread execution capability; multi-core processors; multi-coreprocessors with software multithread execution capability; multi-coreprocessors with hardware multithread technology; parallel platforms; andparallel platforms with distributed shared memory. Additionally, aprocessor can refer to an integrated circuit, an application specificintegrated circuit (ASIC), a digital signal processor (DSP), a fieldprogrammable gate array (FPGA), a programmable logic controller (PLC), acomplex programmable logic device (CPLD), a discrete gate or transistorlogic, discrete hardware components or any combination thereof designedto perform the functions described herein. Processors can exploitnano-scale architectures such as, but not limited to, molecular andquantum-dot based transistors, switches and gates, in order to optimizespace usage or enhance performance of user equipment. A processor canalso be implemented as a combination of computing processing units.

As used herein, terms such as “data storage,” data storage,” “database,”and substantially any other information storage component relevant tooperation and functionality of a component, refer to “memorycomponents,” or entities embodied in a “memory” or components comprisingthe memory. It will be appreciated that the memory components orcomputer-readable storage media, described herein can be either volatilememory or nonvolatile memory or can include both volatile andnonvolatile memory.

What has been described above includes mere examples of variousembodiments. It is, of course, not possible to describe everyconceivable combination of components or methodologies for purposes ofdescribing these examples, but one of ordinary skill in the art canrecognize that many further combinations and permutations of the presentembodiments are possible. Accordingly, the embodiments disclosed and/orclaimed herein are intended to embrace all such alterations,modifications and variations that fall within the spirit and scope ofthe appended claims. Furthermore, to the extent that the term “includes”is used in either the detailed description or the claims, such term isintended to be inclusive in a manner similar to the term “comprising” as“comprising” is interpreted when employed as a transitional word in aclaim.

In addition, a flow diagram may include a “start” and/or “continue”indication. The “start” and “continue” indications reflect that thesteps presented can optionally be incorporated in or otherwise used inconjunction with other routines. In this context, “start” indicates thebeginning of the first step presented and may be preceded by otheractivities not specifically shown. Further, the “continue” indicationreflects that the steps presented may be performed multiple times and/ormay be succeeded by other activities not specifically shown. Further,while a flow diagram indicates an ordering of steps, other orderings arelikewise possible provided that the principles of causality aremaintained.

As may also be used herein, the term(s) “operably coupled to,” “coupledto,” and/or “coupling” includes direct coupling between items and/orindirect coupling between items via one or more intervening items. Suchitems and intervening items include, but are not limited to, junctions,communication paths, components, circuit elements, circuits, functionalblocks, and/or devices. As an example of indirect coupling, a signalconveyed from a first item to a second item may be modified by one ormore intervening items by modifying the form, nature or format ofinformation in a signal, while one or more elements of the informationin the signal are nevertheless conveyed in a manner than can berecognized by the second item. In a further example of indirectcoupling, an action in a first item can cause a reaction on the seconditem, as a result of actions and/or reactions in one or more interveningitems.

Although specific embodiments have been illustrated and describedherein, it should be appreciated that any arrangement which achieves thesame or similar purpose may be substituted for the embodiments describedor shown by the subject disclosure. The subject disclosure is intendedto cover any and all adaptations or variations of various embodiments.Combinations of the above embodiments, and other embodiments notspecifically described herein, can be used in the subject disclosure.For instance, one or more features from one or more embodiments can becombined with one or more features of one or more other embodiments. Inone or more embodiments, features that are positively recited can alsobe negatively recited and excluded from the embodiment with or withoutreplacement by another structural and/or functional feature. The stepsor functions described with respect to the embodiments of the subjectdisclosure can be performed in any order. The steps or functionsdescribed with respect to the embodiments of the subject disclosure canbe performed alone or in combination with other steps or functions ofthe subject disclosure, as well as from other embodiments or from othersteps that have not been described in the subject disclosure. Further,more than or less than all the features described with respect to anembodiment can also be utilized.

What is claimed is:
 1. A device, comprising: a processing systemincluding a processor; and a memory that stores executable instructionsthat, when executed by the processing system, facilitate performance ofoperations, the operations comprising: receiving media content from userequipment, wherein the media content comprises a sample of an existingwork, wherein the existing work is a modification of an original work,and wherein the media content is an audio work; analyzing the mediacontent using machine learning to determine a plurality of compositionparameters that characterize aspects of the media content; recording theplurality of composition parameters determined, including anidentification of first composition parameters in the plurality ofcomposition parameters attributable to the existing work, and anidentification of second composition parameters attributable to theoriginal work, in a blockchain ledger; searching for the plurality ofcomposition parameters in the blockchain ledger for one or more workshaving similar composition parameters to the first compositionparameters or the second composition parameters; and reporting any workshaving the similar composition parameters found during the searching tothe user equipment.
 2. The device of claim 1, wherein the compositionparameters comprise mood classification, genre classification, drumtranscription, chord estimation, downbeat estimation, key detection,onset detection, tempo estimation, lyrics-to-audio alignment, melodyextraction, beat tracking, voice identification, attack, decay, sustain,release, velocity, tempo, pitch or any combination thereof.
 3. Thedevice of claim 1, wherein the audio work includes music.
 4. The deviceof claim 3, wherein the composition parameters comprise instrument,tempo, speed, pitch, timing, key, timbre, or any combination thereof. 5.The device of claim 1, wherein the analyzing comprises content analysistechniques in watermarking, generalized recognition, procedural effects,or a combination thereof.
 6. The device of claim 5, wherein thecomposition parameters are detected by an algorithm exhaustivelyexecuting a plurality of modifications.
 7. The device of claim 1,wherein the operations further comprise estimating a confidence levelthat the one or more works found during the searching have the similarcomposition parameters.
 8. The device of claim 1, wherein the processingsystem comprises a plurality of processors operating in a distributedcomputing environment.
 9. The device of claim 7, wherein the searchingis conducted by a machine-learning model that generates the confidencelevel for each of the one or more works having similar compositionparameters found by the machine-learning model.
 10. The device of claim9, wherein the operations further comprise: recording an identificationof the one or more works found and the confidence level in theblockchain ledger.
 11. The device of claim 10, wherein the operationsfurther comprise: reporting any works having the similar compositionparameters found during the searching to a creator of the original work.12. The device of claim 11, wherein the operations further compriseissuing a smart contract to require virtual payment for the modificationof the original work.
 13. A machine-readable medium, comprisingexecutable instructions that, when executed by a processing systemincluding a processor, facilitate performance of operations, theoperations comprising: receiving media content from user equipment;analyzing the media content into composition parameters thatcharacterize aspects of the media content, wherein the media contentincludes music, and the composition parameters are associated withinstruments, voice identification, or a combination thereof; adjustingthe media content to generate adjusted media content comprising adjustedcomposition parameters; searching a blockchain ledger for one or moreworks having similar composition parameters to the adjusted compositionparameters; reporting any works having the similar compositionparameters to the user equipment adding the adjusted compositionparameters to the blockchain ledger for the adjusted media content; andproviding the user equipment with access to the adjusted media contentand the adjusted composition parameters.
 14. The machine-readable mediumof claim 13, wherein the processing system comprises a plurality ofprocessors operating in a distributed computing environment.
 15. Amethod, comprising: receiving, by a processing system including aprocessor, media content from equipment of a user, wherein the mediacontent is an audio work; analyzing, by the processing system, the mediacontent for composition parameters that characterize aspects of themedia content; searching, by the processing system, for the compositionparameters in a blockchain ledger for one or more matching works havingsimilar composition parameters; and providing, by the processing system,a performance of the media content, as permitted by any matching worksfound during the searching, to the equipment, wherein the performance ispersonalized for the user based on a location of the user, a mood of theuser, a profile of the user, or a combination thereof.
 16. The method ofclaim 15, wherein the operations further comprise: receiving newcomposition parameters specified for modifying the performance of themedia content; and modifying the performance of the media content basedon the new composition parameters specified.
 17. The method of claim 16,wherein the operations further comprise: limiting the new compositionparameters to those permitted by the one or more matching works found.18. The method of claim 15, wherein the new composition parameterscomprise mood classification, genre classification, drum transcription,chord estimation, downbeat estimation, key detection, onset detection,tempo estimation, lyrics-to-audio alignment, melody extraction, beattracking, voice identification, attack, decay, sustain, release,velocity, tempo, pitch or any combination thereof.
 19. The method ofclaim 15, wherein the audio work includes music.
 20. The method of claim19, wherein the new composition parameters comprise instrument, tempo,speed, pitch, timing, key, timbre, or any combination thereof.